The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-29"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "81950951 (up from 81285853 yesterday: 0.82 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1789908 (up from 1774390 yesterday: 0.87 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13639472

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 19510836 201555 1.04 4261632 338561 3725 1.11 1.74
India 10244852 20549 0.20 509002 148439 286 0.19 1.45
Brazil 7563551 58718 0.78 888552 192681 1111 0.58 2.55
Russia 3073923 26588 0.87 581210 55107 548 1.00 1.79
France 2631110 11494 0.44 266067 64204 969 1.53 2.44
United Kingdom 2389963 53275 2.28 635052 71675 458 0.64 3.00
Turkey 2178580 15805 0.73 1284950 20388 253 1.26 0.94
Italy 2067487 11210 0.55 310093 73029 659 0.91 3.53
Spain 1893502 14089 0.75 191174 50442 320 0.64 2.66
Germany 1692109 19466 1.16 462840 32267 1122 3.60 1.91
Colombia 1614822 11015 0.69 230212 42620 246 0.58 2.64
Argentina 1602163 11650 0.73 132244 43018 150 0.35 2.68
Mexico 1401529 12099 0.87 208274 123845 990 0.81 8.84
Poland 1268634 7624 0.60 192454 27454 307 1.13 2.16
Iran 1212481 6108 0.51 150084 54946 132 0.24 4.53
Ukraine 1068476 7402 0.70 213422 18801 246 1.33 1.76
South Africa 1021451 9580 0.95 199562 27568 497 1.84 2.70
Peru 1008908 1251 0.12 34996 37525 51 0.14 3.72
Netherlands 789059 7592 0.97 209062 11305 170 1.53 1.43
Indonesia 727122 7903 1.10 140280 21703 251 1.17 2.98
Czechia 685202 10862 1.61 134132 11302 150 1.35 1.65
Belgium 641411 1677 0.26 46839 19361 127 0.66 3.02
Romania 623066 4637 0.75 98391 15469 135 0.88 2.48
Chile 603986 1958 0.33 40452 16488 45 0.27 2.73
Iraq 593541 1013 0.17 25403 12800 9 0.07 2.16
Canada 568807 8189 1.46 136064 15387 218 1.44 2.71
Bangladesh 511261 1181 0.23 29316 7509 30 0.40 1.47
Pakistan 477240 2155 0.45 51098 10047 55 0.55 2.11
Philippines 471526 876 0.19 28741 9162 38 0.42 1.94
Switzerland 442481 4197 0.96 83913 7493 131 1.78 1.69
Morocco 435189 2160 0.50 51101 7314 42 0.58 1.68
Sweden 428533 32485 8.20 130801 8484 205 2.48 1.98
Israel 412398 5113 1.26 64113 3292 36 1.11 0.80
Portugal 400002 3336 0.84 72026 6751 74 1.11 1.69
Saudi Arabia 362488 149 0.04 3373 6204 8 0.13 1.71
Austria 355352 1868 0.53 47282 6059 128 2.16 1.71
Serbia 331755 3136 0.95 97728 3119 46 1.50 0.94
Hungary 317571 902 0.28 61204 9292 131 1.43 2.93
Jordan 291393 1645 0.57 44262 3801 23 0.61 1.30
Nepal 259548 708 0.27 16171 1840 8 0.44 0.71
Panama 238279 4574 1.96 57113 3933 41 1.05 1.65
Japan 227415 3629 1.62 60823 3196 44 1.40 1.41
Georgia 224155 2012 0.91 54506 2443 25 1.03 1.09
Azerbaijan 216584 1101 0.51 62432 2575 37 1.46 1.19
Ecuador 210326 568 0.27 11574 14001 7 0.05 6.66
Croatia 206596 1350 0.66 51744 3795 56 1.50 1.84
United Arab Emirates 204369 1506 0.74 25532 662 2 0.30 0.32
Kazakhstan 199555 896 0.45 17834 2760 71 2.64 1.38
Bulgaria 199491 1438 0.73 31326 7405 154 2.12 3.71
Belarus 190404 1816 0.96 39802 1404 10 0.72 0.74
Lebanon 175118 2298 1.33 35983 1430 21 1.49 0.82
Slovakia 170187 2095 1.25 50955 1983 104 5.53 1.17
Dominican Republic 168265 860 0.51 18635 2405 1 0.04 1.43
Costa Rica 166799 1037 0.63 19369 2156 12 0.56 1.29
Denmark 159074 2640 1.69 63742 1226 22 1.83 0.77
Armenia 158296 348 0.22 15368 2797 22 0.79 1.77
Bolivia 156887 1293 0.83 11041 9135 29 0.32 5.82
Kuwait 150093 236 0.16 5193 932 0 0.00 0.62
Qatar 143428 206 0.14 3225 245 1 0.41 0.17
Moldova 142851 927 0.65 23647 2934 25 0.86 2.05
Greece 136976 1045 0.77 18931 4730 58 1.24 3.45
Guatemala 136287 846 0.62 9814 4781 8 0.17 3.51
West Bank and Gaza 135459 1149 0.86 34350 1351 19 1.43 1.00
Egypt 135233 1333 1.00 15952 7520 54 0.72 5.56
Tunisia 134802 1598 1.20 29357 4570 52 1.15 3.39
Lithuania 134285 1916 1.45 56859 1347 78 6.15 1.00
Oman 128633 70 0.05 3308 1497 2 0.13 1.16
Ethiopia 123388 243 0.20 9122 1913 1 0.05 1.55
Burma 123153 619 0.51 21414 2637 19 0.73 2.14
Honduras 120912 1199 1.00 9205 3111 45 1.47 2.57
Slovenia 117305 1978 1.72 29369 2631 36 1.39 2.24
Venezuela 112861 225 0.20 7477 1021 3 0.29 0.90
Bosnia and Herzegovina 110454 543 0.49 14433 4024 82 2.08 3.64
Malaysia 108615 1925 1.80 33309 457 2 0.44 0.42
Paraguay 106136 762 0.72 16715 2220 18 0.82 2.09

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2228332 35648 1.63 812936 24917 498 2.04 1.12 56396.02 630.61 1 in 18
Texas 1730084 29535 1.74 317495 27282 244 0.90 1.58 59666.54 940.89 1 in 17
Florida 1292252 12075 0.94 218482 21409 101 0.47 1.66 60167.05 996.80 1 in 17
New York 950473 10183 1.08 218751 37687 139 0.37 3.97 48858.56 1937.28 1 in 20
Illinois 948006 5644 0.60 143832 17596 126 0.72 1.86 74812.14 1388.59 1 in 13
Ohio 682570 7526 1.11 172552 8722 151 1.76 1.28 58393.72 746.17 1 in 17
Georgia 645690 9450 1.49 133423 10779 83 0.78 1.67 60814.19 1015.22 1 in 16
Pennsylvania 627526 8624 1.39 185215 15343 288 1.91 2.44 49017.85 1198.49 1 in 20
Tennessee 572589 4797 0.84 157840 6710 122 1.85 1.17 83795.47 981.97 1 in 12
North Carolina 524279 3563 0.68 120247 6574 13 0.20 1.25 49988.06 626.81 1 in 20
Michigan 523839 3963 0.76 80763 12966 212 1.66 2.48 52452.84 1298.31 1 in 19
Wisconsin 513056 2919 0.57 65047 5152 92 1.82 1.00 88117.10 884.85 1 in 11
Arizona 507222 2799 0.55 129065 8640 171 2.02 1.70 66609.21 1134.62 1 in 15
Indiana 500282 3976 0.80 107619 8051 165 2.09 1.61 74311.61 1195.89 1 in 13
New Jersey 467622 3657 0.79 90567 18777 126 0.68 4.02 52647.15 2114.01 1 in 19
Minnesota 411110 972 0.24 51907 5255 36 0.69 1.28 72896.60 931.80 1 in 14
Missouri 396470 2941 0.75 60914 5578 101 1.84 1.41 64598.72 908.85 1 in 15
Massachusetts 361079 4145 1.16 97632 12218 60 0.49 3.38 51957.53 1758.11 1 in 19
Alabama 351804 3907 1.12 75139 4737 25 0.53 1.35 71750.10 966.11 1 in 14
Virginia 340297 4122 1.23 77567 4920 59 1.21 1.45 39868.34 576.41 1 in 25
Colorado 328408 1740 0.53 59819 4687 56 1.21 1.43 57027.79 813.89 1 in 18
Louisiana 304485 3946 1.31 49923 7397 61 0.83 2.43 65497.63 1591.17 1 in 15
South Carolina 300602 2552 0.86 63648 5198 25 0.48 1.73 58383.90 1009.57 1 in 17
Oklahoma 283781 1194 0.42 63095 2405 22 0.92 0.85 71716.72 607.79 1 in 14
Iowa 278310 1661 0.60 30356 3812 68 1.82 1.37 88210.40 1208.21 1 in 11
Maryland 271061 1878 0.70 51100 5803 63 1.10 2.14 44835.49 959.86 1 in 22
Utah 269326 2736 1.03 49355 1235 16 1.31 0.46 84007.96 385.22 1 in 12
Kentucky 261491 2975 1.15 55824 2594 31 1.21 0.99 58529.57 580.62 1 in 17
Washington 240846 2174 0.91 44814 3369 174 5.45 1.40 31628.28 442.42 1 in 32
Nevada 220124 1747 0.80 46840 3016 45 1.51 1.37 71465.21 979.17 1 in 14
Kansas 219435 391 0.18 42123 2569 25 0.98 1.17 75321.44 881.81 1 in 13
Arkansas 219246 2718 1.26 44921 3603 66 1.87 1.64 72650.34 1193.91 1 in 14
Mississippi 210032 1943 0.93 42106 4719 85 1.83 2.25 70571.74 1585.61 1 in 14
Connecticut 181967 767 0.42 43709 5924 20 0.34 3.26 51038.53 1661.58 1 in 20
Nebraska 163781 932 0.57 21186 1603 16 1.01 0.98 84667.25 828.68 1 in 12
New Mexico 139875 1216 0.88 29928 2403 21 0.88 1.72 66707.87 1146.02 1 in 15
Idaho 138524 1514 1.11 24619 1393 16 1.16 1.01 77298.54 777.32 1 in 13
Oregon 111227 682 0.62 24145 1449 16 1.12 1.30 26371.25 343.55 1 in 38
South Dakota 98158 501 0.51 11120 1446 0 0.00 1.47 110955.75 1634.53 1 in 9
North Dakota 91828 271 0.30 8486 1276 6 0.47 1.39 120499.38 1674.40 1 in 8
Rhode Island 86789 1187 1.39 19722 1760 18 1.03 2.03 81925.80 1661.38 1 in 12
West Virginia 82773 1337 1.64 25713 1284 21 1.66 1.55 46315.72 718.46 1 in 22
Montana 80426 427 0.53 11080 939 12 1.29 1.17 75250.43 878.57 1 in 13
Puerto Rico 75790 2132 2.89 17474 1460 4 0.27 1.93 23731.14 457.15 1 in 42
Delaware 56189 701 1.26 14725 898 0 0.00 1.60 57702.89 922.19 1 in 17
Alaska 46092 183 0.40 7976 201 1 0.50 0.44 63006.38 274.76 1 in 16
Wyoming 43923 219 0.50 6448 405 0 0.00 0.92 75891.69 699.77 1 in 13
New Hampshire 42697 1027 2.46 16074 735 20 2.80 1.72 31401.53 540.56 1 in 32
District of Columbia 28535 193 0.68 4946 775 4 0.52 2.72 40432.22 1098.12 1 in 25
Maine 22319 0 0.00 8270 326 0 0.00 1.46 16603.78 242.52 1 in 60
Hawaii 21466 71 0.33 2490 285 0 0.00 1.33 15160.98 201.29 1 in 66
Vermont 7202 82 1.15 2022 130 1 0.78 1.81 11541.87 208.34 1 in 87

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 32374471 2228332 6.88 6584696 812936 12.35 819353.3
2 Texas 13591767 1730084 12.73 2063172 317495 15.39 468748.2
3 Florida 15443777 1292252 8.37 2178161 218482 10.03 719059.8
4 New York 24913524 950473 3.82 4004079 218751 5.46 1280666.5
5 Illinois 13103444 948006 7.23 1828836 143832 7.86 1034061.6
6 Ohio 7666450 682570 8.90 1073046 172552 16.08 655863.2
7 Georgia 5281282 645690 12.23 725839 133423 18.38 497416.6
8 Pennsylvania 3866452 627526 16.23 470114 185215 39.40 302019.6
9 Tennessee 5588933 572589 10.25 823722 157840 19.16 817911.7
10 North Carolina 6842669 524279 7.66 1137769 120247 10.57 652423.2
11 Michigan 8064471 523839 6.50 945218 80763 8.54 807508.4
12 Wisconsin 5283315 513056 9.71 606566 65047 10.72 907406.6
13 Arizona 2794362 507222 18.15 386321 129065 33.41 366960.1
14 Indiana 5585093 500282 8.96 928266 107619 11.59 829606.6
15 New Jersey 7693486 467622 6.08 1344140 90567 6.74 866169.9
16 Minnesota 5288334 411110 7.77 769283 51907 6.75 937709.1
17 Missouri 3599869 396470 11.01 369739 60914 16.47 586543.6
18 Massachusetts 10762822 361079 3.35 1690765 97632 5.77 1548718.2
19 Alabama 1855192 351804 18.96 191102 75139 39.32 378364.7
20 Virginia 4191183 340297 8.12 645314 77567 12.02 491028.5
21 Colorado 4343409 328408 7.56 791958 59819 7.55 754229.6
22 Louisiana 4142108 304485 7.35 494722 49923 10.09 891007.0
23 South Carolina 3133285 300602 9.59 551957 63648 11.53 608556.8
24 Oklahoma 2619690 283781 10.83 360031 63095 17.52 662044.3
25 Iowa 1166051 278310 23.87 63314 30356 47.95 369580.1
26 Maryland 5632401 271061 4.81 861569 51100 5.93 931640.6
27 Utah 2214069 269326 12.16 269584 49355 18.31 690610.7
28 Kentucky 3128180 261491 8.36 341801 55824 16.33 700181.1
29 Washington 3768662 240846 6.39 603948 44814 7.42 494906.8
30 Nevada 2057266 220124 10.70 298160 46840 15.71 667909.7
31 Kansas 985813 219435 22.26 124489 42123 33.84 338382.0
32 Arkansas 2024496 219246 10.83 240998 44921 18.64 670846.1
33 Mississippi 1337690 210032 15.70 143464 42106 29.35 449470.1
34 Connecticut 4278915 181967 4.25 705380 43709 6.20 1200160.0
35 Nebraska 1717483 163781 9.54 243142 21186 8.71 887859.8
36 New Mexico 1946285 139875 7.19 286010 29928 10.46 928204.0
37 Idaho 538880 138524 25.71 43966 24619 56.00 300703.4
38 Oregon 2598391 111227 4.28 423231 24145 5.70 616062.8
39 South Dakota 370159 98158 26.52 27736 11120 40.09 418420.0
40 North Dakota 1233204 91828 7.45 96719 8486 8.77 1618246.3
41 Rhode Island 1961246 86789 4.43 297958 19722 6.62 1851348.1
42 West Virginia 1483446 82773 5.58 237512 25713 10.83 830063.8
43 Montana 783495 80426 10.27 86617 11080 12.79 733075.5
45 Delaware 966871 56189 5.81 170532 14725 8.63 992921.3
46 Alaska 1259845 46092 3.66 170867 7976 4.67 1722170.2
47 Wyoming 494391 43923 8.88 65227 6448 9.89 854226.0
48 New Hampshire 1019799 42697 4.19 146509 16074 10.97 750011.6
49 District of Columbia 888992 28535 3.21 143361 4946 3.45 1259643.3
50 Maine 1096473 22319 2.04 153906 8270 5.37 815699.5
51 Hawaii 803715 21466 2.67 92899 2490 2.68 567646.7
52 Vermont 687387 7202 1.05 98754 2022 2.05 1101601.1

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4802831 473371 843 0.18 9.86 3634 498 54418 24958 5.27
Veneto 3258961 246089 2655 1.09 7.55 2678 366 90365 6298 2.56
Piemonte 1664929 195415 840 0.43 11.74 3029 196 29383 7860 4.02
Campania 2004376 187189 625 0.34 9.34 1402 97 78491 2765 1.48
Emilia-Romagna 2538045 167969 894 0.54 6.62 2598 221 56812 7614 4.53
Lazio 2676624 159951 1218 0.77 5.98 2854 305 74685 3630 2.27
Toscana 1861004 119236 271 0.23 6.41 879 157 10015 3632 3.05
Sicilia 1203327 91261 995 1.10 7.58 1093 169 33409 2352 2.58
Puglia 1022357 87833 749 0.86 8.59 1466 136 52833 2428 2.76
Liguria 701035 59582 305 0.51 8.50 711 63 5759 2867 4.81
Friuli Venezia Giulia 916889 48347 493 1.03 5.27 655 60 11777 1612 3.33
Marche 519600 40336 508 1.28 7.76 465 61 10129 1546 3.83
Abruzzo 508059 34580 47 0.14 6.81 451 38 11272 1185 3.43
Sardegna 474385 30417 116 0.38 6.41 498 45 16258 738 2.43
P.A. Bolzano 357337 29014 91 0.31 8.12 136 22 10678 729 2.51
Umbria 496881 28313 161 0.57 5.70 263 38 3568 613 2.17
Calabria 434303 23069 163 0.71 5.31 257 16 8535 464 2.01
P.A. Trento 445114 21323 175 0.83 4.79 380 46 1760 926 4.34
Basilicata 181611 10566 68 0.65 5.82 84 6 5954 248 2.35
Valle d’Aosta 62194 7230 0 0.00 11.62 73 1 413 378 5.23
Molise 113696 6396 7 0.11 5.63 56 8 2214 186 2.91

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 197311 2381 1.22 8124 64 0.79 4.12 23110.63 951.55 1 in 43
Ontario 179198 2384 1.35 4463 39 0.88 2.49 12180.54 303.36 1 in 82
Alberta 99141 872 0.89 1028 26 2.59 1.04 22464.93 232.94 1 in 45
British Columbia 50815 2206 4.54 882 74 9.16 1.74 9942.44 172.57 1 in 101
Manitoba 24385 133 0.55 659 5 0.76 2.70 17702.14 478.40 1 in 56
Saskatchewan 15022 208 1.40 151 10 7.09 1.01 12712.56 127.79 1 in 79
Nova Scotia 1480 2 0.14 65 0 0.00 4.39 1514.13 66.50 1 in 660
New Brunswick 595 2 0.34 8 0 0.00 1.34 762.83 10.26 1 in 1311
Newfoundland and Labrador 390 1 0.26 4 0 0.00 1.03 748.04 7.67 1 in 1337
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 59629.69 1034.72 1 in 17
India 7651.12 110.86 1 in 131
Brazil 36137.37 920.60 1 in 28
Russia 21272.82 381.36 1 in 47
France 39276.16 958.41 1 in 25
United Kingdom 35971.75 1078.79 1 in 28
Turkey 26959.29 252.30 1 in 37
Italy 34184.64 1207.49 1 in 29
Spain 40580.84 1081.05 1 in 25
Germany 20438.57 389.75 1 in 49
Colombia 32908.54 868.56 1 in 30
Argentina 36190.72 971.72 1 in 28
Mexico 10847.75 958.55 1 in 92
Poland 33402.69 722.85 1 in 30
Iran 14939.39 677.01 1 in 67
Ukraine NA NA 1 in NA
South Africa 18008.66 486.04 1 in 56
Peru 31361.77 1166.46 1 in 32
Netherlands 45928.93 658.03 1 in 22
Indonesia 2754.25 82.21 1 in 363

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 746089 9782 1.31
Cook Illinois 388386 8169 2.10
Maricopa Arizona 311242 5027 1.62
Miami-Dade Florida 293188 4164 1.42
Harris Texas 234736 3348 1.43
San Bernardino California 191087 1438 0.75
Dallas Texas 189252 1955 1.03
Riverside California 176688 1943 1.10
Clark Nevada 166285 2309 1.39
Orange California 152089 1847 1.21
San Diego California 150064 1435 0.96
Tarrant Texas 144001 1384 0.96
Broward Florida 134582 1830 1.36
Queens New York 122783 7537 6.14
Kings New York 121199 7701 6.35
Bexar Texas 114362 1699 1.49
Salt Lake Utah 105026 541 0.52
El Paso Texas 97710 1622 1.66
Suffolk New York 92391 2274 2.46
Philadelphia Pennsylvania 92354 2407 2.61
Milwaukee Wisconsin 90470 995 1.10
Hennepin Minnesota 85482 1365 1.60
Nassau New York 85023 2374 2.79
Wayne Michigan 84452 3616 4.28
Bronx New York 83891 5134 6.12
Franklin Ohio 82402 697 0.85
Palm Beach Florida 81390 1873 2.30
Hillsborough Florida 75547 1064 1.41
Orange Florida 74273 733 0.99
Middlesex Massachusetts 72973 2694 3.69
Marion Indiana 69144 1114 1.61
Cuyahoga Ohio 68535 888 1.30
St. Louis Missouri 68226 1356 1.99
Westchester New York 67931 1656 2.44
Pima Arizona 67679 1023 1.51
Santa Clara California 67423 673 1.00
Kern California 66526 502 0.75
Utah Utah 65643 208 0.32
Shelby Tennessee 65282 875 1.34
Sacramento California 64322 827 1.29
Fresno California 64274 646 1.01
King Washington 61455 1022 1.66
Mecklenburg North Carolina 61093 545 0.89
DuPage Illinois 60839 1012 1.66
Oakland Michigan 60724 1632 2.69
New York New York 59804 3323 5.56
Davidson Tennessee 59694 556 0.93
Duval Florida 59515 724 1.22
Oklahoma Oklahoma 56943 432 0.76
Essex Massachusetts 56247 1666 2.96
Providence Rhode Island 55922 1277 2.28
Gwinnett Georgia 55727 594 1.07
Fulton Georgia 55555 782 1.41
Fairfield Connecticut 55253 1700 3.08
Prince George’s Maryland 53692 1072 2.00
Suffolk Massachusetts 53046 1361 2.57
Allegheny Pennsylvania 52473 952 1.81
Douglas Nebraska 52191 493 0.94
Will Illinois 51466 767 1.49
Jefferson Alabama 50686 689 1.36
Hamilton Ohio 50527 411 0.81
Alameda California 50405 625 1.24
Hidalgo Texas 50361 2187 4.34
Jefferson Kentucky 50287 525 1.04
Travis Texas 49648 544 1.10
Macomb Michigan 49189 1598 3.25
Lake Illinois 47564 802 1.69
Collin Texas 47197 357 0.76
Tulsa Oklahoma 47164 379 0.80
Denver Colorado 46857 658 1.40
New Haven Connecticut 46466 1517 3.26
Essex New Jersey 46382 2372 5.11
Bergen New Jersey 46152 2300 4.98
Hartford Connecticut 45746 1828 4.00
Montgomery Maryland 45341 1111 2.45
San Joaquin California 44172 625 1.41
Pinellas Florida 43869 1040 2.37
Middlesex New Jersey 43849 1650 3.76
Fairfax Virginia 43107 675 1.57
Kent Michigan 42936 539 1.26
Hudson New Jersey 42925 1687 3.93
Cobb Georgia 42676 569 1.33
Wake North Carolina 42330 337 0.80
Lubbock Texas 41205 543 1.32
Polk Iowa 40941 407 0.99
Kane Illinois 40869 596 1.46
Worcester Massachusetts 40795 1489 3.65
El Paso Colorado 40340 539 1.34
Erie New York 40256 1163 2.89
Bernalillo New Mexico 40038 551 1.38
Lee Florida 39679 653 1.65
Passaic New Jersey 39457 1435 3.64
Lake Indiana 39270 591 1.50
Adams Colorado 39253 504 1.28
Contra Costa California 39029 323 0.83
Denton Texas 38094 334 0.88
Sedgwick Kansas 38023 351 0.92
Baltimore Maryland 37971 916 2.41
Johnson Kansas 37875 435 1.15
Ada Idaho 37511 338 0.90

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc